معرفی
Bingni Brunton is a Professor of Biology and the Richard & Joan Komen University Chair at the University of Washington, with affiliations in the Paul G. Allen School of Computer Science & Engineering, the Department of Applied Mathematics, and the UW eScience Institute as a Data Science Fellow.
- Ph.D. in Molecular Biology & Neuroscience, Princeton (2012)
- B.S. in Biology, Caltech (2006)
Her research bridges computational neuroscience, neuroengineering, and data science, focusing on data-driven modeling of neural and behavioral dynamics, sparse sensing/control systems, and neural decoding for brain-computer interfaces.
Recent publications emphasize 3D pose estimation (Anipose), neural decoders for transfer learning, and time-delay modeling in dynamical systems. These papers highlight her lab's expertise in machine learning for neuroscience and biological systems.
Scientific recognition includes:
- Alfred P. Sloan Foundation Fellowship (2016)
- UW Innovation Award (2017)
- AFOSR Young Investigator Program (2018)
- Weill Neurohub Investigator (2020)
- Moore Distinguished Scholar (2021)
She co-advises students across disciplines in Neuroscience, Computer Science & Engineering, and Applied Mathematics, including current advisees Michelle Hickner, Zoe Steine-Hanson, and Raveena Chhibber, as well as alumni like Nancy Wang (Amazon) and Satpreet Singh (Meta).
Her lab receives funding from NIH/NIMH, NSF, Boeing, and the Weill Neurohub, among others.
